Let’s chat about it sometime. I am very interested in wide exposure for this type of stuff, and I think it is very useful to think about this for people working on all sorts of data that happens to be biased relative to their questions.
My usual domain is medicine and healthcare, but I went to this talk recently where people worry about questions like “this ad received this many clicks if it was on top of the page, what would have happened had another ad been on top.” This is a counterfactual question that causal inference deals with.
From my point of view, a good learning outcome would be: “people are aware of the problem, people know where to go for more reading, people know simple things to try.”
Let’s chat about it sometime. I am very interested in wide exposure for this type of stuff, and I think it is very useful to think about this for people working on all sorts of data that happens to be biased relative to their questions.
My usual domain is medicine and healthcare, but I went to this talk recently where people worry about questions like “this ad received this many clicks if it was on top of the page, what would have happened had another ad been on top.” This is a counterfactual question that causal inference deals with.
From my point of view, a good learning outcome would be: “people are aware of the problem, people know where to go for more reading, people know simple things to try.”